Air Transportation Data Helps Identify, Predict Pandemics

submitted by Luis Kun

homelandsecuritynewswire.com - December 13, 2013

Computational model demonstrates how disease spreads in a highly connected world. The computational work has led to a new mathematical theory for understanding the global spread of epidemics. The resulting insights could not only help identify an outbreak’s origin but could also significantly improve the ability to forecast the global pathways through which a disease might spread. . .

. . . Their study is published today (13 December) in the journal Science.

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RESEARCH - Science - The Hidden Geometry of Complex, Network-Driven Contagion Phenomena